Luca Minciullo

According to our database1, Luca Minciullo authored at least 16 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Toyota Smarthome Untrimmed: Real-World Untrimmed Videos for Activity Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

CMOSE: Comprehensive Multi-Modality Online Student Engagement Dataset with High-Quality Labels.
CoRR, 2023

2022
Fast Weakly Supervised Action Segmentation Using Mutual Consistency.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Unmixing multi-spectral electrical impedance tomography (EIT) predicts clinical-standard controlled attenuation parameter (CAP) for nonalcoholic fatty liver disease classification: a feasibility study.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Selective Spatio-Temporal Aggregation Based Pose Refinement System: Towards Understanding Human Activities in Real-World Videos.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

DB-GAN: Boosting Object Recognition Under Strong Lighting Conditions.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

PDAN: Pyramid Dilated Attention Network for Action Detection.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

DemoGrasp: Few-Shot Learning for Robotic Grasping with Human Demonstration.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
On Evaluating Weakly Supervised Action Segmentation Methods.
CoRR, 2020

CPS: Class-level 6D Pose and Shape Estimation From Monocular Images.
CoRR, 2020

2019
Machine learning applied to the study of knee osteoarthritis and associated pain.
PhD thesis, 2019

Toyota Smarthome: Real-World Activities of Daily Living.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Self-Attention Temporal Convolutional Network for Long-Term Daily Living Activity Detection.
Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019

2017
Indecisive Trees for Classification and Prediction of Knee Osteoarthritis.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Combination of lateral and PA view radiographs to study development of knee OA and associated pain.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2016
Fully automated shape analysis for detection of Osteoarthritis from lateral knee radiographs.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016


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